Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

被引:0
|
作者
Alexa B. R. McIntyre
Rachid Ounit
Ebrahim Afshinnekoo
Robert J. Prill
Elizabeth Hénaff
Noah Alexander
Samuel S. Minot
David Danko
Jonathan Foox
Sofia Ahsanuddin
Scott Tighe
Nur A. Hasan
Poorani Subramanian
Kelly Moffat
Shawn Levy
Stefano Lonardi
Nick Greenfield
Rita R. Colwell
Gail L. Rosen
Christopher E. Mason
机构
[1] Tri-Institutional Program in Computational Biology and Medicine,Department of Physiology and Biophysics
[2] Weill Cornell Medicine,Department of Computer Science and Engineering
[3] The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine,School of Medicine
[4] University of California,Department of Electrical and Computer Engineering
[5] New York Medical College,undefined
[6] Accelerated Discovery Lab,undefined
[7] IBM Almaden Research Center,undefined
[8] One Codex,undefined
[9] Reference Genomics,undefined
[10] University of Vermont,undefined
[11] CosmosID,undefined
[12] Inc,undefined
[13] Center for Bioinformatics and Computational Biology,undefined
[14] University of Maryland Institute for Advanced Computer Studies (UMIACS),undefined
[15] HudsonAlpha Institute for Biotechnology,undefined
[16] Johns Hopkins University Bloomberg School of Public Health,undefined
[17] Drexel University,undefined
[18] The Feil Family Brain and Mind Research Institute,undefined
来源
Genome Biology | / 18卷
关键词
Metagenomics; Shotgun sequencing; Taxonomy; Classification; Comparison; Ensemble methods; Meta-classification; Pathogen detection;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Ensemble of classifiers for ontology enrichment
    Semenova, A. V.
    Kureichik, V. M.
    INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES IN BUSINESS AND INDUSTRY 2018, PTS 1-4, 2018, 1015
  • [22] Quantum ensemble of trained classifiers
    Araujo, Ismael C. S.
    da Silva, Adenilton J.
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [23] Ensemble Learning of Regional Classifiers
    Lee, Byung-woo
    Na, Yong-chan
    Oh, Byonghwa
    Yang, Jihoon
    20TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL 1, PROCEEDINGS, 2008, : 387 - 392
  • [24] On ECOC as binary ensemble classifiers
    Ko, J
    Kim, E
    MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS, 2005, 3587 : 1 - 10
  • [25] Random Projection Ensemble Classifiers
    Schclar, Alon
    Rokach, Lior
    ENTERPRISE INFORMATION SYSTEMS-BK, 2009, 24 : 309 - +
  • [26] Ensemble-based classifiers
    Rokach, Lior
    ARTIFICIAL INTELLIGENCE REVIEW, 2010, 33 (1-2) : 1 - 39
  • [27] Assessment and Benchmarking Approaches for 3D LiDAR Systems: A Comprehensive Overview
    Cassanelli, Davide
    Cattini, Stefano
    Rovati, Luigi
    2024 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AUTOMOTIVE, METROAUTOMOTIVE 2024, 2024, : 47 - 52
  • [28] FuzzyBagging: A novel ensemble of classifiers
    Nanni, L
    Lumini, A
    PATTERN RECOGNITION, 2006, 39 (03) : 488 - 490
  • [29] Ensemble of a subset of kNN classifiers
    Gul, Asma
    Perperoglou, Aris
    Khan, Zardad
    Mahmoud, Osama
    Miftahuddin, Miftahuddin
    Adler, Werner
    Lausen, Berthold
    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2018, 12 (04) : 827 - 840
  • [30] Ensemble-based classifiers
    Lior Rokach
    Artificial Intelligence Review, 2010, 33 : 1 - 39